PCMDI > WCRP CMIP3 Model Output > Diagnostic Subprojects

PI:	Jean-Philippe Boulanger
Institution:	Laboratoire de Météorologie Dynamique du C.N.R.S.
Additional Investigators:	Gabriel Cazes, C. Roberto Mechoso
Abstract:
Objective: The project has two major objectives: 1- Evaluate the ability of coupled climate models in simulating spatio-temporal characteristics of weather regimes at 200mb during two seasons of major teleconnections with ENSO (OND and AMJ). 2- Describe the impacts of climate change scenarios onto such spatio-temporal characteristics Simulations: Present-day control, 20C3M, SRES A2 Model Data required: - Global daily means at 200 hPa of the following variables: geopotential height (zg200), eastward wind (ua250), northward wind (va250).
Publications:
Boulanger, J.-P., F. Martinez and E. C. Segura, Projection of future climate change conditions using IPCC simulations, neural networks and bayesian statistics.Part 1: Temperature mean state and seasonal cycle in South America. Climate Dynamics. In press. Abstract. Edit. Boulanger, J.-P., F. Martinez and E. C. Segura, Projection of future climate change conditions using IPCC simulations, neural networksand Bayesian statistics.Part 2: Precipitation mean state and seasonal cycle in South America. Climate Dynamics. Accepted. Abstract. Edit. Add Publication